{"schemaVersion":"jobsearcher.job.v1","id":"abe5d47e9f549aaa708a2698","url":"https://jobsearcher.com/jobs/abe5d47e9f549aaa708a2698","canonicalUrl":"https://jobsearcher.com/jobs/abe5d47e9f549aaa708a2698","title":"Lead Data and AI Architect","description":"If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.\r\nLead Data and AI Architect\r\nInformation Technology Full Time Technical Prof Deer Park, TX, US\r\n2 days ago Requisition ID: 1062\r\nDeer Park Refining Limited Partnership (DPRLP) known as PEMEX Deer Park is a highly complex refinery located 18 miles east of Houston in Deer Park, TX, and is a part of the PEMEX group which is a fully integrated oil company in the Americas, working across the entire value chain: exploration, production, industrial processing/refining,logistics and marketing. PEMEX Deer Park provides a diverse and inclusive work environment that employs approximately 1000 employees with another 1200 contractors on site. The refinery’s rated capacity is 340,000 barrels per day and has the feed flexibility to process multiple grades of crudes to produce the high-quality transportation fuels the world needs. The PEMEX Deer Park site is co-located with other 3rd party chemical facilities allowing for further integration and optimization of the refinery and its products. We set high standards of performance and ethical behaviors and offer challenging and fulfilling job opportunities in a number of fields. We take great pride in our ability to ensure the health and safety of our workers and the environment while being a good neighbor and have a positive impact on the local community where we work.\r\nBENEFITS:\r\nWe value our employees’ time and efforts. Our commitment to your success is enhanced by our competitive compensation and an extensive benefits package including paid time off, medical, dental, and vision benefits, and future growth opportunities within the company. Plus, we work to maintain the best possible environment for our employees, where people can learn and grow with the company. We strive to provide a collaborative, creative environment where each person feels encouraged to contribute to our processes, decisions, planning and culture.\r\nFor more information, please visit our website: PEMEX\r\nJob Purpose\r\nThe Data & AI Lead plays a critical role in shaping the refinery’s digital future through modern data architecture, advanced analytics, and AI/ML adoption. This role will design, implement, and govern enterprise data platforms, AI strategy, and data governance frameworks to support reliable, efficient, and safe refinery operations. He Data and Ai Architect is a key contributor to the Deer Park Refinery Digital Transformation roadmap development and implementation.\r\nDimensionsKey technical leadership role within the IT Digital Transformation Team\r\nSupports enterprise-wide data governance, AI enablement, and analytics capability\r\nPartners with Business Owners, Enterprise Architects, Data Leads, PMO, and fusion teamsAccountabilities & Responsibilities:\r\nThe Data & AI Lead is responsible for developing and executing a site‑wide data, analytics, and AI transformation strategy that supports the refinery’s business goals and operational objectives. This includes identifying emerging data and AI technologies, evaluating high‑value opportunities, and creating business cases and ROI analyses that demonstrate the value of proposed solutions. The role will lead proof of concept (POCs), develop scalable solution patterns, and transfer knowledge to IT project teams to ensure successful deployment of new technologies that enhance efficiency, safety, reliability, and sustainability. Additionally, Data & AI Lead will define the data and analytics application roadmap, establish overarching enterprise data architecture, and create methods and frameworks to drive user adoption and organizational change.Develop and maintain the refinery’s Data & AI strategy and multi‑year digital transformation roadmap\r\nIdentify and evaluate new AI, analytics, and data engineering technologies relevant to complex industrial environments\r\nDefine enterprise standards for data architecture, modeling, governance, and AI/ML lifecycle management\r\nDrive alignment with refinery architecture, cybersecurity, and OT/IT integration strategiesData Architecture & EngineeringArchitect scalable, secure, and cost‑efficient Azure cloud data platforms (Data Lake, Fabric, Databricks, etc.)\r\nDesign end‑to‑end pipelines integrating data from refinery OT systems (DCS, SCADA, historians), SAP, EAM, LIMS, and other operational systems\r\nBuild conceptual, logical, and physical data models supporting operations, reliability, maintenance, and financial use cases\r\nImplement best practices for data ingestion, ELT/ETL, data observability, security, roles/permissions, data quality, and metadata managementAI/ML EnablementDefine AI/ML standards, model lifecycle governance, and responsible AI practices\r\nPartner with business teams to identify high‑value AI opportunities (predictive maintenance, optimization, anomaly detection, etc.)\r\nProvide hands‑on leadership in deploying AI/ML models using Azure ML, Foundry, notebooks, and industrial data sourcesData Governance & ComplianceEstablish and lead site‑wide data governance frameworks, policies, and stewardship roles\r\nEnsure compliance with privacy, operational integrity, cybersecurity, and regulatory requirements\r\nDevelop and maintain data catalogs, lineage, and master/reference data structures\r\nMentor and guide Transformation Analysts, Data Leads, and business data owners\r\nPartner with PMO to develop business cases, ROI analyses, solution evaluation, and vendor selection\r\nFacilitate workshops, training, and change management activities to increase digital and data literacy‑management activities to increase digital and data literacy\r\nCommunicate technical concepts to non‑technical audiences and promote data‑driven decision makingValue Generation & ProtectionEnsure data platforms and AI solutions are reliable, scalable, cost‑optimized, and aligned with refinery priorities\r\nDrive continuous improvement through analytics insights, automation, and performance optimization initiatives\r\nSupport safe and efficient refinery operations through trusted, accurate, and timely data#J-18808-Ljbffr","company":"Automatic Data Processing","rawCompany":"automatic data processing","city":"Deer Park","state":"TX","isRemote":false,"isActive":true,"createdAt":"2026-11-06T02:14:18.637Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"324110","title":"Petroleum Refineries","slug":"petroleum-refineries"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data and AI Architect","description":"If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.\r\nLead Data and AI Architect\r\nInformation Technology Full Time Technical Prof Deer Park, TX, US\r\n2 days ago Requisition ID: 1062\r\nDeer Park Refining Limited Partnership (DPRLP) known as PEMEX Deer Park is a highly complex refinery located 18 miles east of Houston in Deer Park, TX, and is a part of the PEMEX group which is a fully integrated oil company in the Americas, working across the entire value chain: exploration, production, industrial processing/refining,logistics and marketing. PEMEX Deer Park provides a diverse and inclusive work environment that employs approximately 1000 employees with another 1200 contractors on site. The refinery’s rated capacity is 340,000 barrels per day and has the feed flexibility to process multiple grades of crudes to produce the high-quality transportation fuels the world needs. The PEMEX Deer Park site is co-located with other 3rd party chemical facilities allowing for further integration and optimization of the refinery and its products. We set high standards of performance and ethical behaviors and offer challenging and fulfilling job opportunities in a number of fields. We take great pride in our ability to ensure the health and safety of our workers and the environment while being a good neighbor and have a positive impact on the local community where we work.\r\nBENEFITS:\r\nWe value our employees’ time and efforts. Our commitment to your success is enhanced by our competitive compensation and an extensive benefits package including paid time off, medical, dental, and vision benefits, and future growth opportunities within the company. Plus, we work to maintain the best possible environment for our employees, where people can learn and grow with the company. We strive to provide a collaborative, creative environment where each person feels encouraged to contribute to our processes, decisions, planning and culture.\r\nFor more information, please visit our website: PEMEX\r\nJob Purpose\r\nThe Data & AI Lead plays a critical role in shaping the refinery’s digital future through modern data architecture, advanced analytics, and AI/ML adoption. This role will design, implement, and govern enterprise data platforms, AI strategy, and data governance frameworks to support reliable, efficient, and safe refinery operations. He Data and Ai Architect is a key contributor to the Deer Park Refinery Digital Transformation roadmap development and implementation.\r\nDimensionsKey technical leadership role within the IT Digital Transformation Team\r\nSupports enterprise-wide data governance, AI enablement, and analytics capability\r\nPartners with Business Owners, Enterprise Architects, Data Leads, PMO, and fusion teamsAccountabilities & Responsibilities:\r\nThe Data & AI Lead is responsible for developing and executing a site‑wide data, analytics, and AI transformation strategy that supports the refinery’s business goals and operational objectives. This includes identifying emerging data and AI technologies, evaluating high‑value opportunities, and creating business cases and ROI analyses that demonstrate the value of proposed solutions. The role will lead proof of concept (POCs), develop scalable solution patterns, and transfer knowledge to IT project teams to ensure successful deployment of new technologies that enhance efficiency, safety, reliability, and sustainability. Additionally, Data & AI Lead will define the data and analytics application roadmap, establish overarching enterprise data architecture, and create methods and frameworks to drive user adoption and organizational change.Develop and maintain the refinery’s Data & AI strategy and multi‑year digital transformation roadmap\r\nIdentify and evaluate new AI, analytics, and data engineering technologies relevant to complex industrial environments\r\nDefine enterprise standards for data architecture, modeling, governance, and AI/ML lifecycle management\r\nDrive alignment with refinery architecture, cybersecurity, and OT/IT integration strategiesData Architecture & EngineeringArchitect scalable, secure, and cost‑efficient Azure cloud data platforms (Data Lake, Fabric, Databricks, etc.)\r\nDesign end‑to‑end pipelines integrating data from refinery OT systems (DCS, SCADA, historians), SAP, EAM, LIMS, and other operational systems\r\nBuild conceptual, logical, and physical data models supporting operations, reliability, maintenance, and financial use cases\r\nImplement best practices for data ingestion, ELT/ETL, data observability, security, roles/permissions, data quality, and metadata managementAI/ML EnablementDefine AI/ML standards, model lifecycle governance, and responsible AI practices\r\nPartner with business teams to identify high‑value AI opportunities (predictive maintenance, optimization, anomaly detection, etc.)\r\nProvide hands‑on leadership in deploying AI/ML models using Azure ML, Foundry, notebooks, and industrial data sourcesData Governance & ComplianceEstablish and lead site‑wide data governance frameworks, policies, and stewardship roles\r\nEnsure compliance with privacy, operational integrity, cybersecurity, and regulatory requirements\r\nDevelop and maintain data catalogs, lineage, and master/reference data structures\r\nMentor and guide Transformation Analysts, Data Leads, and business data owners\r\nPartner with PMO to develop business cases, ROI analyses, solution evaluation, and vendor selection\r\nFacilitate workshops, training, and change management activities to increase digital and data literacy‑management activities to increase digital and data literacy\r\nCommunicate technical concepts to non‑technical audiences and promote data‑driven decision makingValue Generation & ProtectionEnsure data platforms and AI solutions are reliable, scalable, cost‑optimized, and aligned with refinery priorities\r\nDrive continuous improvement through analytics insights, automation, and performance optimization initiatives\r\nSupport safe and efficient refinery operations through trusted, accurate, and timely data#J-18808-Ljbffr","datePosted":"2026-11-06T02:14:18.637Z","dateModified":"2026-11-06T02:14:18.637Z","hiringOrganization":{"@type":"Organization","name":"Automatic Data Processing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Deer Park","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"abe5d47e9f549aaa708a2698"},"url":"https://jobsearcher.com/jobs/abe5d47e9f549aaa708a2698"}}